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  # NLP Concept Classifier
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- This is a pre-trained BERT language model to classify NLP-related research papers according to concepts included in the [NLP taxonomy](#nlp-taxonomy).
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  It is a multi-label classifier that can predict concepts from all levels of the NLP taxonomy.
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  If the model identifies a lower-level concept, it did learn to predict both the lower-level concept and its hypernyms in the NLP taxonomy.
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  The model is fine-tuned on a weakly labeled dataset of 178,521 scientific papers from the ACL Anthology, the arXiv cs.CL domain, and Scopus.
 
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  # NLP Concept Classifier
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+ This is a fine-tuned BERT-based language model to classify NLP-related research papers according to concepts included in the [NLP taxonomy](#nlp-taxonomy).
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  It is a multi-label classifier that can predict concepts from all levels of the NLP taxonomy.
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  If the model identifies a lower-level concept, it did learn to predict both the lower-level concept and its hypernyms in the NLP taxonomy.
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  The model is fine-tuned on a weakly labeled dataset of 178,521 scientific papers from the ACL Anthology, the arXiv cs.CL domain, and Scopus.